Queue Length Moments

Queue Length Moments is a mathematical construct that characterizes the statistical moments—such as mean, variance, and higher-order moments—of the probability distribution of the number of entities in a queue, thereby providing a quantitative description of the queue's operational behavior under steady-state or transient conditions.

130

Publications

5.8K

Citations

188

Authors

123

Institutions

Publications per year

2017–2026

5

Authors

188

  1. VR
    V. Ramaswami

    AT&T (United States), United States

    4 publications · 393 citations

    4

    h-index

  2. MF
    Marcel F. Neuts

    University of Arizona, United States

    4 publications · 133 citations

    4

    h-index

  3. WW
    Ward Whitt

    AT&T (United States), United States

    3 publications · 161 citations

    3

    h-index

  4. JA
    J.R. Artalejo

    Universidad Complutense de Madrid, Spain

    3 publications · 69 citations

    3

    h-index

  5. HW
    Ho Woo Lee

    Sungkyunkwan University, South Korea

    3 publications · 74 citations

    3

    h-index

1–5 of 188

Venues

  1. Journal of Applied Probability

    JAP · 20 publications · 704 citations

    15

    h-index

  2. Operations Research

    14 publications · 1.2K citations

    14

    h-index

  3. Advances in Applied Probability

    AAP · 7 publications · 444 citations

    7

    h-index

  4. Queueing Systems

    6 publications · 110 citations

    6

    h-index

  5. Management Science

    4 publications · 107 citations

    4

    h-index

1–5